Cargando…
ResNet-AE for Radar Signal Anomaly Detection
Radar signal anomaly detection is an effective method to detect potential threat targets. Given the low Accuracy of the traditional AE model and the complex network of GAN, an anomaly detection method based on ResNet-AE is proposed. In this method, CNN is used to extract features and learn the poten...
Autores principales: | Cheng, Donghang, Fan, Youchen, Fang, Shengliang, Wang, Mengtao, Liu, Han |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416614/ https://www.ncbi.nlm.nih.gov/pubmed/36016010 http://dx.doi.org/10.3390/s22166249 |
Ejemplares similares
-
Radar Signal Modulation Recognition Based on Sep-ResNet
por: Mao, Yongjiang, et al.
Publicado: (2021) -
S-ResNet: An improved ResNet neural model capable of the identification of small insects
por: Wang, Pei, et al.
Publicado: (2022) -
MAC-ResNet: Knowledge Distillation Based Lightweight Multiscale-Attention-Crop-ResNet for Eyelid Tumors Detection and Classification
por: Huang, Xingru, et al.
Publicado: (2022) -
Dynamic Gesture Recognition Model Based on Millimeter-Wave Radar With ResNet-18 and LSTM
por: Zhang, Yongqiang, et al.
Publicado: (2022) -
Working Mode Recognition of Non-Specific Radar Based on ResNet-SVM Learning Framework
por: Pan, Jifei, et al.
Publicado: (2023)